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- https://stats.libretexts.org/Courses/Saint_Mary's_College_Notre_Dame/BFE_1201_Statistical_Methods_for_Finance_(Kuter)/07%3A_Hypothesis_Testing/7.17%3A_Chapter_Key_Terms/7.17.02%3A_Chapter_Key_TermsThe degrees of freedom used equals the (number of categories – 1). The degrees of freedom used equals the (number of columns – 1). a hypothesis test that compares expected and observed values for cont...The degrees of freedom used equals the (number of categories – 1). The degrees of freedom used equals the (number of columns – 1). a hypothesis test that compares expected and observed values for contingency tables in order to test for independence between two variables. The degrees of freedom used equals the (number of columns – 1) multiplied by the (number of rows – 1).
- https://stats.libretexts.org/Courses/Fresno_City_College/Introduction_to_Business_Statistics_-_OER_-_Spring_2023/11%3A_The_Chi-Square_Distribution/11.08%3A_Chapter_Key_TermsTest for Homogeneity a test used to draw a conclusion about whether two populations have the same distribution. The degrees of freedom used equals the (number of columns – 1). Test of Independence a h...Test for Homogeneity a test used to draw a conclusion about whether two populations have the same distribution. The degrees of freedom used equals the (number of columns – 1). Test of Independence a hypothesis test that compares expected and observed values for contingency tables in order to test for independence between two variables. The degrees of freedom used equals the (number of columns – 1) multiplied by the (number of rows – 1).
- https://stats.libretexts.org/Courses/Fresno_City_College/Book%3A_Business_Statistics_Customized_(OpenStax)/11%3A_The_Chi-Square_Distribution/11.11%3A_Chapter_Key_TermsTest for Homogeneity a test used to draw a conclusion about whether two populations have the same distribution. The degrees of freedom used equals the (number of columns – 1). Test of Independence a h...Test for Homogeneity a test used to draw a conclusion about whether two populations have the same distribution. The degrees of freedom used equals the (number of columns – 1). Test of Independence a hypothesis test that compares expected and observed values for contingency tables in order to test for independence between two variables. The degrees of freedom used equals the (number of columns – 1) multiplied by the (number of rows – 1).
